I
worked from 1985 to 1995 in the Malaysian Polytechnic system as a
Technical lecturer, after which I joined the industry at the Measat
Broadcast Network Systems (MBNS), the satellite TV provider for
almost 2 years from 1996 to 1997. Since 1997, I have been with
Universiti Tenaga Nasional (UNITEN) as Senior Lecturer, Head of
Department, Deputy Dean and Associate Professor at the College of IT
(now College of Computer Science and IT) as well as Manager at the
Research Management Centre (RMC) and Head of Energy and Environment
at the Institute of Energy Policy and Research (IEPRe). While in
UNITEN, I have pursued my PhD and for a time, been seconded to the
Ministry of Science, Technology and Innovation (MOSTI).

I
obtained my B.Sc from University of Queensland in Australia, M.Sc
from Loughborough University, UK and PhD from a joint program
between Malaysia and France. I have taught a range of subjects such
as C programming, Parallel Computing, Mobile Application
Development, Digital Logic Design, Computer Organisation, Operating
Systems, Logic Systems and Process Control, Applied Statistics and
Discrete Structures for the undergraduate programmes and Intelligent
Systems, Project Management, Computer Networks and Research
Methodology for the postgraduate programmes.

I
have been active with IEEE Malaysia as executive committee member
and IEEE Computer Society Malaysia as executive committee member and
at a time the Chair. I have also held the task of the secretariat of
Malaysian National Grid Computing Initiative (NGCI) until present.

CAREER OBJECTIVES

I aspire to achieve
the following objectives:

To share past academic, industrial and management experience and
contribute to the best of my ability in academic teaching in
particular and research in general.

To share existing contacts and network for the benefit of the
organization.

ACADEMIC AND RESEARCH INTERESTS

Artificial Intelligence (AI), Pattern Recognition and Machines
Learning: General AI, applications of AI various fields,
Handwriting Recognition (online and offline), Image recognition,
and methods such as Support Vector Machine (SVM) and Neural
networks.